Premium
Image‐based modeling of lung structure and function
Author(s) -
Tawhai Merryn H.,
Lin ChingLong
Publication year - 2010
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.22382
Subject(s) - airflow , computer science , representation (politics) , bronchiole , image (mathematics) , airway , focus (optics) , boundary value problem , lung , artificial intelligence , medicine , mathematics , mechanical engineering , physics , engineering , mathematical analysis , surgery , optics , politics , political science , law
The current state‐of‐the‐art in image‐based modeling allows derivation of patient‐specific models of the lung, lobes, airways, and pulmonary vascular trees. The application of traditional engineering analyses of fluid and structural mechanics to image‐based subject‐specific models has the potential to provide new insight into structure–function relationships in the individual via functional interpretation that complements imaging and experimental studies. Three major issues that are encountered in studies of airflow through the bronchial airways are the representation of airway geometry, the imposition of physiological boundary conditions, and the treatment of turbulence. Here we review some efforts to resolve each of these issues, with particular focus on image‐based models that have been developed to simulate airflow from the mouth to the terminal bronchiole, and subjected to physiologically meaningful boundary conditions via image registration and soft‐tissue mechanics models. J. Magn. Reson. Imaging 2010;32:1421–1431. © 2010 Wiley‐Liss, Inc.